{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 非掩码版AlphaFold集成实验信息进行复合物预测\n",
    "\n",
    "## 相关链接\n",
    "\n",
    "- [Mirabello, C., Wallner, B., Nystedt, B. et al. Unmasking AlphaFold to integrate experiments and predictions in multimeric complexes. Nat Commun 15, 8724 (2024). https://doi.org/10.1038/s41467-024-52951-w](https://www.nature.com/articles/s41467-024-52951-w#citeas)\n",
    "- [AF_unmasked github 仓库](https://github.com/clami66/AF_unmasked)\n",
    "- Zhang, Y. & Skolnick, J. TM-align: a protein structure alignment algorithm based on the tm-score. Nucleic acids Res. 33,\n",
    "2302–2309 (2005).\n",
    "- [TM-align在线链接](https://zhanggroup.org/TM-align/)\n",
    "\n",
    "## 核心思路\n",
    "\n",
    "alphafold multimer默认只保留模板多聚体的各条链内部的残基相对距离,链之间的距离被掩盖.\n",
    "\n",
    "AF_unmasked尝试取消链之间的掩码,经过实验,认为一个正确的模板能够提供有效的链内和链外残基的相对距离信息.\n",
    "\n",
    "即使是粗糙的侧链替换或者远距同源复合物也比仅进行多序列比对的结构预测效果要好.\n",
    "\n",
    "![](af_unmasked_concept.png)\n",
    "\n",
    "![](remote_unmasked_predict.png)\n",
    "\n",
    "## 源码协议\n",
    "\n",
    "Apache 2.0开源协议.\n",
    "\n",
    "## 源码结构\n",
    "\n",
    "- alphafold/:alphafold2源码,包含兼容性和功能性修改(包括对多链掩码的修改)\n",
    "- examples/:论文相关的示例\n",
    "- scripts/:下载alphafold2查询数据库和模型参数\n",
    "- *.flag:alphafold配置文件\n",
    "- prepare_templates.py:准备模板结构的脚本,将待预测的序列重叠到同源模板,生成AF_unmasked的输入模板.\n",
    "- run_alphafold.py:运行AF2预测结构.\n",
    "- setup.py:安装相关依赖,理论上可以用`python setup.py`安装alphafold.\n",
    "\n",
    "## Google Colab笔记示例\n",
    "\n",
    "[Open in Colab](https://colab.research.google.com/github/clami66/AF_unmasked/blob/notebook/notebooks/AF_unmasked.ipynb)\n",
    "\n",
    "## 安装af_unmasked\n",
    "\n",
    "使用conda和pip进行环境管理和依赖安装.\n",
    "\n",
    "```bash\n",
    "git clone https://github.com/clami66/AF_unmasked.git ~/git_develop/AF_unmasked # 克隆位置自行修改\n",
    "cd ~/git_develop/AF_unmasked\n",
    "conda env create --file=environment.yaml\n",
    "# 在Mac上创建环境\n",
    "# CONDA_SUBDIR=osx-64 conda env create --file=environment.yaml\n",
    "conda activate AF_unmasked\n",
    "pip install -r requirements.txt\n",
    "\n",
    "# 可选,下载AF参数文件和序列数据库\n",
    "# 推荐使用缩减的数据集,因为对于良好的模板而言多序列比对不是关键\n",
    "# 如果想要下载完整的数据集,则忽略下面命令中的`reduced_dbs`\n",
    "# 如果以前安装过AlphaFold,可以跳过这步,修改根目录`databases.flag`中的路径即可\n",
    "# 推荐使用v2版本的多聚体参数\n",
    "# 下载路径自行调整,约800G,如果是完整数据集,约2.6T.\n",
    "# 链接较慢的链接,考虑单独下载,修改其脚本,aria2c -s 16 -x 16 ...\n",
    "# pdb_mmcif采用远程同步方法下载,如果速度过慢,可中断下载,等一段时间继续下载\n",
    "cd scripts\n",
    "chmod +x download_all_data.sh ../AF_data/ reduced_dbs \n",
    "\n",
    "# 可选,安装[lDDT_align](https://github.com/clami66/lDDT_align)进行按结构对齐\n",
    "# 可选,下载编译[TM-align](https://zhanggroup.org/TM-align/)进行按结构对齐\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 准备多聚体模板\n",
    "\n",
    "使用源仓库的`prepare_templates.py`准备多聚体模板.\n",
    "\n",
    "### 快速开始\n",
    "\n",
    "首先需要提供一个多序列fasta文件,每个序列是要预测的多聚体中的1条链,类似:\n",
    "\n",
    "```txt\n",
    ">H1142,subunit1|_0\n",
    "GLEKDFLPLYFGWFLTKKSSETLRKAGQ...\n",
    ">H1142,subunit2|_0\n",
    "EVQLEESGGGLVQAGGSLTLSCAASGFT...\n",
    "```\n",
    "\n",
    "另外提供一个模板结构(pdb/cif),需要与预测序列的链一一对应.然后执行以下命令:\n",
    "\n",
    "```bash\n",
    "python prepare_templates.py --target examples/H1142/H1142.fasta \\\n",
    "    --template examples/H1142/H1142.pdb \\\n",
    "    --output_dir AF_models/ \\\n",
    "```\n",
    "\n",
    "将保存预测结果到指定输出路径下的H1142目录下.fasta文件的链号与模板一致.\n",
    "\n",
    "#### 指定链号\n",
    "\n",
    "上一个例子要求模板和序列之间的顺序完全一致.但也支持指定链号之间的映射,例如指定fasta文件中的第1条链以模板的B链为参考,第2条链以模板的C链为参考.fasta文件的链号固定按照A,B,C,...Z,a,b,...,z编号.\n",
    "\n",
    "```bash\n",
    "python prepare_templates.py --target examples/H1142/H1142.fasta \\\n",
    "    --template examples/H1142/H1142.pdb \\\n",
    "    --output_dir AF_models/ \\\n",
    "    --target_chains A B \\\n",
    "    --template_chains B C\n",
    "```\n",
    "\n",
    "--target_chains/--template_chains选项在模板和序列的数量不一致时也需要指定.\n",
    "\n",
    "#### 部分模板\n",
    "\n",
    "如果模板中的结构只是预测序列的子集,例如有`AB`二聚体模板,对于3条链的序列文件,必须像以下方式映射:\n",
    "\n",
    "```bash\n",
    "python prepare_templates.py --target examples/H1142/H1142.fasta \\\n",
    "    --template examples/H1137/H1137.pdb \\\n",
    "    --output_dir AF_models/ \\\n",
    "    --target_chains A B C \\\n",
    "    --template_chains A B -\n",
    "```\n",
    "\n",
    "其中`-`是占位符,用于明确3条链的映射关系(此例中表示模板没有包含C链信息).\n",
    "\n",
    "#### 输入结构而非序列\n",
    "\n",
    "可以使用`.pdb`/`.cif`结构而非`.fasta`文件作为要预测的结构输入.比如有2个未结合的蛋白,链号分别为A/B,以二聚体为模板:\n",
    "\n",
    "```bash\n",
    "python prepare_templates.py --target examples/H1142/casp15_predictions/unbound_chain_A.pdb \\\n",
    "    examples/H1142/casp15_predictions/unbound_chain_B.pdb \\\n",
    "    --template examples/H1142/H1142.pdb \\\n",
    "    --output_dir AF_models/H1142 \\\n",
    "```\n",
    "\n",
    "注意由于没有fasta文件,输出路径需要明确指定子目录.\n",
    "\n",
    "提供的输入可以是多个,用空格隔开,代表多条链.\n",
    "\n",
    "生成的pdb链号与输入结构文件一致.\n",
    "\n",
    "由于输入结构可能丢失残基,需要在`AF_models/H1142`下手动添加要预测结构的fasta文件.\n",
    "\n",
    "也可以使用同一个pdb文件作为结构输入,需要指定链号;使用mmCIF则改为使用`--mmcif_target`/`--mmcif_template`选项:\n",
    "\n",
    "```bash\n",
    "python prepare_templates.py --target examples/H1142/casp15_predictions/unbound_chains.pdb \\\n",
    "    --template examples/H1142/H1142.pdb \\\n",
    "    --output_dir AF_models/H1142 \\\n",
    "    --target_chains A B \\\n",
    "    --template_chains B C\n",
    "```\n",
    "\n",
    "#### 远距同源序列和序列比对的控制\n",
    "\n",
    "默认使用AlphaFold进行模板和目标的序列比对.如果要修改序列比对的方式,使用`--align`标识进行blast序列比对,在msa目录下生成`pdb_hits.sto`序列比对文件.\n",
    "\n",
    "使用`--align_tool`参数指定比对工具为`TM-align`或`lDDT_align`,按结构进行比对.\n",
    "\n",
    "```bash\n",
    "python prepare_templates.py --target examples/H1142/casp15_predictions/unbound_chain_A.pdb \\\n",
    "    examples/H1142/casp15_predictions/unbound_chain_B.pdb \\\n",
    "    --template examples/H1142/H1142.pdb \\\n",
    "    --output_dir AF_models/ \\\n",
    "    --align # 不提供该标识则让Alphafold进行序列比对\n",
    "    --align_tool tmalign # or lddt_align #不提供该参数则使用blast进行比对\n",
    "```\n",
    "\n",
    "要将模板的某些链替换为未结合的单体,创建粗糙的初始结构,可以使用`--superimpose`标识.\n",
    "\n",
    "```bash\n",
    "python prepare_templates.py --target examples/H1142/casp15_predictions/unbound_chain_A.pdb \\\n",
    "    examples/H1142/casp15_predictions/unbound_chain_B.pdb \\\n",
    "    --template examples/H1142/H1142.pdb \\\n",
    "    --output_dir AF_models/H1142 \\\n",
    "    --superimpose\n",
    "```\n",
    "\n",
    "#### 额外模板\n",
    "\n",
    "AF2接受最多4个模板作为输入,先执行一次`prepare_template.py`,后续模板添加--append标识可以添加模板.\n",
    "\n",
    "```bash\n",
    "# prepare the first template\n",
    "python prepare_templates.py --target examples/H1142/H1142.fasta --template examples/H1142/H1142.pdb --output_dir AF_models/\n",
    "# running the same command three more times to fill the four template slots while using different templates\n",
    "python prepare_templates.py --target examples/H1142/H1142.fasta --template examples/H1142/H1142.pdb --output_dir AF_models/ --append\n",
    "python prepare_templates.py --target examples/H1142/H1142.fasta --template examples/H1142/H1142.pdb --output_dir AF_models/ --append\n",
    "python prepare_templates.py --target examples/H1142/H1142.fasta --template examples/H1142/H1142.pdb --output_dir AF_models/ --append\n",
    "```\n",
    "\n",
    "#### 幻想抵触的残基对\n",
    "\n",
    "默认检测抵触的残基对,自动删除,然后在预测阶段补全(幻想).\n",
    "\n",
    "使用`--noinpaint_clashes`禁用抵触补全行为.\n",
    "\n",
    "```bash\n",
    "python prepare_templates.py --target examples/H1142/H1142.fasta \\\n",
    "    --template examples/H1142/H1142.pdb \\\n",
    "    --output_dir AF_models/ \\\n",
    "    --noinpaint_clashes\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 输出\n",
    "\n",
    "运行4次`prepare_templates.py`后,输出目录结构为:\n",
    "\n",
    "```bash\n",
    "AF_models/H1142/\n",
    "├── H1142.fasta  # target fasta file\n",
    "├── H1142.pdb    # template pdb file\n",
    "├── msas\n",
    "│   ├── A\n",
    "│   │   └── pdb_hits.sto # only if --align is used\n",
    "│   ├── B\n",
    "│   │   └── pdb_hits.sto # only if --align is used\n",
    "...\n",
    "└── template_data\n",
    "    ├── mmcif_files\n",
    "    │   ├── 0000.cif\n",
    "    │   ├── 0001.cif\n",
    "    │   ├── 0002.cif\n",
    "    │   └── 0003.cif\n",
    "    ├── pdb_seqres_A.txt\n",
    "    ├── pdb_seqres_B.txt\n",
    "    └── templates.flag\n",
    "```\n",
    "\n",
    "`template_data/`目录最小化alphaFold的数据库.cif模板编号从0000开始递增;目标序列每条分隔产生为`pdb_seqres_X.txt`.\n",
    "\n",
    "`msas`目录包含比对结果,需要指定`--align`标识生成,alphafold不会覆盖比对结果.\n",
    "\n",
    "`template_data/templates.flag`提供了alphafold预测的相关参数.\n",
    "\n",
    "## 运行alphafold\n",
    "\n",
    "```bash\n",
    "python run_alphafold.py --fasta_paths examples/H1142/H1142.fasta \\\n",
    "    --flagfile ./databases.flag \\\n",
    "    --flagfile examples/H1142/template_data/templates.flag \\ # the template flagfile generated by prepare_templates.py\n",
    "    --output_dir AF_models \\  # same output folder used with prepare_templates.py\n",
    "    --model_preset='multimer_v2'\n",
    "```\n",
    "\n",
    "### 指定使用模型\n",
    "\n",
    "输出目录需要与上述命令一致.最佳的af模型为`model_5`,随后是`model_1`.`--models_to_use`可以指定部分模型,减少计算时间:\n",
    "\n",
    "```bash\n",
    "python run_alphafold.py --fasta_paths examples/H1142/H1142.fasta \\\n",
    "    --flagfile ./databases.flag \\\n",
    "    --flagfile examples/H1142/template_data/templates.flag \\ # the template flagfile generated by prepare_templates.py\n",
    "    --output_dir AF_models \\  # same output folder used with prepare_templates.py\n",
    "    --models_to_use=model_5_multimer_v2,model_5_multimer_v3\n",
    "```\n",
    "\n",
    "还可以使用`--dropout` 和 `--num_multimer_predictions_per_model`参数调整生成的结构数量.\n",
    "\n",
    "```bash\n",
    "python run_alphafold.py --fasta_paths examples/H1142/H1142.fasta \\\n",
    "    --flagfile ./databases.flag \\\n",
    "    --flagfile examples/H1142/template_data/templates.flag \\ # the template flagfile generated by prepare_templates.py\n",
    "    --output_dir AF_models \\  # same output folder used with prepare_templates.py\n",
    "    --models_to_use=model_5_multimer_v2,model_5_multimer_v3\n",
    "    --dropout\n",
    "    --num_multimer_predictions_per_model 100\n",
    "```\n",
    "\n",
    "默认同时使用链内和链外的约束,`--cross_chain_templates_only`只使用链外的约束,`--nocross_chain_templates`则取消全部约束.\n",
    "\n",
    "### 使用有限的MSA,加速计算\n",
    "\n",
    "`[uniprot,mgnify,uniref,bfd]_max_hits`可以控制alphafold在各个数据库中的查询数量.例如要在mgnify/uniref中使用100个序列,在另2个数据库中使用1个:\n",
    "\n",
    "```bash\n",
    "python run_alphafold.py --fasta_paths examples/H1142/H1142.fasta \\\n",
    "    --flagfile ./databases.flag \\\n",
    "    --flagfile examples/H1142/template_data/templates.flag \\\n",
    "    --output_dir AF_models \\\n",
    "    --cross_chain_templates \\\n",
    "    --dropout \\\n",
    "    --model_preset='multimer_v2' \\\n",
    "    --separate_homomer_msas \\\n",
    "    --uniprot_max_hits 1 \\\n",
    "    --mgnify_max_hits 100 \\\n",
    "    --uniref_max_hits 100 \\\n",
    "    --bfd_max_hits 1\n",
    "```\n",
    "\n",
    "由于af_unmasked的工作重点,推荐使用`--uniprot_max_hits 1`,避免影响多聚体模板.\n",
    "\n",
    "裁剪MSA的比对数量可以更多的依赖模板,并加速计算.最终进行比对的总序列数量推荐不超过512.\n",
    "\n",
    "### 单体的预测\n",
    "\n",
    "对于单体或者同聚体的预测,默认使用`--separate_homomer_msas`选项,强制对每条链分别查询MSA;\n",
    "\n",
    "使用相同的MSA来预测所有的链可以使用`--noseparate_homomer_msas`.\n",
    "\n",
    "## 实例测试\n",
    "\n",
    "论文以T1110o和4K2H为例,序列一致性低于20%,使用TM-align进行结构对齐,裁剪使用MSA中的单个序列.\n",
    "\n",
    "本笔记以7DSD为模板,预测7AHL的结构.两个复合物均为跨膜的七聚同聚物,都有C7旋转轴,序列一致性为18%.7DSD是ATP通道,7AHL是金葡菌分泌的溶血性穿孔蛋白."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "sys.path.append(os.path.abspath('..'))\n",
    "from note_utils.path import chdir\n",
    "\n",
    "af_root=os.path.expanduser('~/git_develop/AF_unmasked') #仓库路径自行修改"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 准备参数文件\n",
    "# 可选,由于我下载AF2参数和数据库的位置不是默认的AF_data,因此创建软链接到源代码库\n",
    "if 'AF_data' not in os.listdir(af_root):\n",
    "    !ln -s ~/projects/AF_data/ $af_root/AF_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 准备要预测结构的fasta文件\n",
    "ahl_seq='MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIRTKGTIAGQYRVYSEEGANKSGLAWPSAFKVQLQLPDNEVAQISDYYPRNSIDTKEYMSTLTYGFNGNVTGDDTGKIGGLIGANVSIGHTLKYVQPDFKTILESPTDKKVGWKVIFNNMVNQNWGPYDRDSWNPVYGNQLFMKTRNGSMKAADNFLDPNKASSLLSSGFSPDFATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN'# 7ahl单链序列,共7条链\n",
    "!mkdir -p result/7ahl\n",
    "with open('result/7ahl/7ahl.fasta', 'w') as ahl_fasta:\n",
    "    for i in range(1, 8):\n",
    "        ahl_fasta.write(f'>7ahl_{i}\\n')\n",
    "        ahl_fasta.write(f'{ahl_seq}\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "--2024-10-22 19:20:03--  https://alphafold.ebi.ac.uk/files/AF-P09616-F1-model_v4.pdb\n",
      "已载入 CA 证书“/etc/ssl/certs/ca-certificates.crt”\n",
      "正在解析主机 alphafold.ebi.ac.uk (alphafold.ebi.ac.uk)... 34.149.152.8\n",
      "正在连接 alphafold.ebi.ac.uk (alphafold.ebi.ac.uk)|34.149.152.8|:443... 已连接。\n",
      "已发出 HTTP 请求，正在等待回应... 200 OK\n",
      "长度：未指定 [application/octet-stream]\n",
      "正在保存至: “ahl_af.pdb”\n",
      "\n",
      "     0K .......... .......... .......... .......... ..........  766K\n",
      "    50K .......... .......... .......... .......... ..........  896K\n",
      "   100K .......... .......... .......... .......... ..........  130K\n",
      "   150K .......... .......... .......... .......... ..........  245K\n",
      "   200K .....                                                  58.8M=0.7s\n",
      "\n",
      "2024-10-22 19:20:05 (290 KB/s) - “ahl_af.pdb” 已保存 [210761]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 从alphafold下载7ahl单链3D结构\n",
    "if 'ahl_af.pdb' not in os.listdir():\n",
    "    os.popen('wget https://alphafold.ebi.ac.uk/files/AF-P09616-F1-model_v4.pdb -O ahl_af.pdb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pymol计算的序列比对rmsd:0.6526797413825989\n"
     ]
    }
   ],
   "source": [
    "from note_utils.pymol import restart_pymol\n",
    "\n",
    "viewer = restart_pymol(quiet='Q')\n",
    "viewer.do('fetch 7ahl, native,type=pdb')\n",
    "viewer.remove('solvent')\n",
    "viewer.color('gray','native')\n",
    "viewer.color('blue','native and chain A')\n",
    "viewer.load('ahl_af.pdb','af_pred')\n",
    "viewer.color('green','af_pred')\n",
    "print(f\"pymol计算的序列比对rmsd:{viewer.super('af_pred','native and chain A')[0]}\")\n",
    "viewer.zoom()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "viewer.display(ray=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "当前目录从 /home/regen/paper_notes/af_unmasked 临时切换到 /home/regen/bin\n",
      "当前目录切换回到 /home/regen/paper_notes/af_unmasked\n"
     ]
    }
   ],
   "source": [
    "# 本笔记使用TM-align进行按结构对齐,安装过程如下\n",
    "with chdir('/home/regen/bin') as (tmp, init):  # 下载TM-align源码位置自行调整\n",
    "    if 'TMalign.cpp' not in os.listdir():\n",
    "        os.system('wget https://zhanggroup.org/TM-align/TMalign.cpp')  # 下载源码\n",
    "    if 'TMalign' not in os.listdir():\n",
    "        os.system('g++ -O3 -ffast-math -lm -o TMalign TMalign.cpp')  # 编译源码\n",
    "    os.environ['PATH']+=f':{tmp.as_posix()}'  # 临时添加该目录到PATH变量,要永久添加,自行修改bashrc等文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'7dsd'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 准备7dsd远距同源模板\n",
    "# 本笔记需要使用pymol-open-source,ipymol\n",
    "# conda install -c conda-forge pymol-open-source\n",
    "# pip install git+https://gitee.com/regentsai/ipymol.git setuptools==57.5.0 ipywidgets\n",
    "import pymol\n",
    "pymol.cmd.fetch('7dsd', type='pdb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "当前目录从 /home/regen/paper_notes/af_unmasked 临时切换到 /home/regen/git_develop/AF_unmasked\n",
      "Deleting clashing residues... 0 clashes found.\n",
      "\n",
      "Aligning target sequence 1 (seq: MKTRIVSSVT...) to template chain A (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 2 (seq: MKTRIVSSVT...) to template chain B (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 3 (seq: MKTRIVSSVT...) to template chain C (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 4 (seq: MKTRIVSSVT...) to template chain D (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 5 (seq: MKTRIVSSVT...) to template chain E (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 6 (seq: MKTRIVSSVT...) to template chain F (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 7 (seq: MKTRIVSSVT...) to template chain G (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "Run AlphaFold with, e.g.:\n",
      "python run_alphafold.py --fasta_paths target.fasta --flagfile databases.flag --flagfile /home/regen/paper_notes/af_unmasked/result/7ahl/template_data/templates.flag --output_dir /home/regen/paper_notes/af_unmasked/result --cross_chain_templates --dropout --model_preset='multimer_v2' --separate_homomer_msas\n",
      "*** NB: the name of the fasta target should be the same as the name of the folder containing the output msas: (e.g.  if the fasta target file is 'target.fasta', then --output_dir='somedir/target' ***\n",
      "Deleting clashing residues... 0 clashes found.\n",
      "\n",
      "Aligning target sequence 1 (seq: MKTRIVSSVT...) to template chain A (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 2 (seq: MKTRIVSSVT...) to template chain B (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 3 (seq: MKTRIVSSVT...) to template chain C (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 4 (seq: MKTRIVSSVT...) to template chain D (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 5 (seq: MKTRIVSSVT...) to template chain E (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 6 (seq: MKTRIVSSVT...) to template chain F (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 7 (seq: MKTRIVSSVT...) to template chain G (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "Run AlphaFold with, e.g.:\n",
      "python run_alphafold.py --fasta_paths target.fasta --flagfile databases.flag --flagfile /home/regen/paper_notes/af_unmasked/result/7ahl/template_data/templates.flag --output_dir /home/regen/paper_notes/af_unmasked/result --cross_chain_templates --dropout --model_preset='multimer_v2' --separate_homomer_msas\n",
      "*** NB: the name of the fasta target should be the same as the name of the folder containing the output msas: (e.g.  if the fasta target file is 'target.fasta', then --output_dir='somedir/target' ***\n",
      "Deleting clashing residues... 0 clashes found.\n",
      "\n",
      "Aligning target sequence 1 (seq: MKTRIVSSVT...) to template chain A (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 2 (seq: MKTRIVSSVT...) to template chain B (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 3 (seq: MKTRIVSSVT...) to template chain C (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 4 (seq: MKTRIVSSVT...) to template chain D (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 5 (seq: MKTRIVSSVT...) to template chain E (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 6 (seq: MKTRIVSSVT...) to template chain F (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 7 (seq: MKTRIVSSVT...) to template chain G (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "Run AlphaFold with, e.g.:\n",
      "python run_alphafold.py --fasta_paths target.fasta --flagfile databases.flag --flagfile /home/regen/paper_notes/af_unmasked/result/7ahl/template_data/templates.flag --output_dir /home/regen/paper_notes/af_unmasked/result --cross_chain_templates --dropout --model_preset='multimer_v2' --separate_homomer_msas\n",
      "*** NB: the name of the fasta target should be the same as the name of the folder containing the output msas: (e.g.  if the fasta target file is 'target.fasta', then --output_dir='somedir/target' ***\n",
      "Deleting clashing residues... 0 clashes found.\n",
      "\n",
      "Aligning target sequence 1 (seq: MKTRIVSSVT...) to template chain A (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 2 (seq: MKTRIVSSVT...) to template chain B (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 3 (seq: MKTRIVSSVT...) to template chain C (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 4 (seq: MKTRIVSSVT...) to template chain D (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 5 (seq: MKTRIVSSVT...) to template chain E (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 6 (seq: MKTRIVSSVT...) to template chain F (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "\n",
      "Aligning target sequence 7 (seq: MKTRIVSSVT...) to template chain G (seq: VQFLQANQES...)\n",
      "V----------Q------------------FLQANQESFM----GICGIM--------------ALA--------------SAQMYSSFEFTCPC------------LPDYNYAYGIGILIVPPIWF----FLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMF-------------------SSMTQRALIAP---A------------VWIAVTLMDGKSFL--------------CAFSPTADLSEFVNESYQ-------SLSQKELLKIQAKIPCKDIF--------EEHEIISREAATRYIRCL--SQAC-GWTFLMVITLVAFLVRAIR------------------------------------------------------------------\n",
      "-MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIR-TKG--TIAGQYRVYSEEGANKSGLAWPS--AF-KV--QLQLP-DNEVAQISD----------------------------YYPRNSIDTKEYMSTLTYGFNG-NV-TG--DDTGKIGGLIGANVSIGHTLK-YV-QPDFKTILESPTDKKVGWKVIFN-NMVNQNWG-----PYDRDSWNPVYGNQL-FM---------KTRNGSMKAADNFLDPNKASSLLS--SGFS--PD------------------FATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "Run AlphaFold with, e.g.:\n",
      "python run_alphafold.py --fasta_paths target.fasta --flagfile databases.flag --flagfile /home/regen/paper_notes/af_unmasked/result/7ahl/template_data/templates.flag --output_dir /home/regen/paper_notes/af_unmasked/result --cross_chain_templates --dropout --model_preset='multimer_v2' --separate_homomer_msas\n",
      "*** NB: the name of the fasta target should be the same as the name of the folder containing the output msas: (e.g.  if the fasta target file is 'target.fasta', then --output_dir='somedir/target' ***\n",
      "当前目录切换回到 /home/regen/paper_notes/af_unmasked\n"
     ]
    }
   ],
   "source": [
    "# 准备模板,提供4个相同的模板,TM-align对齐\n",
    "# 注意输出路径\n",
    "with chdir(af_root) as (tmp, init):\n",
    "    ahlA=f'{init}/ahl_af.pdb'\n",
    "    cmd = f'''\n",
    "python prepare_templates.py \\\n",
    "--target {ahlA} {ahlA} {ahlA} {ahlA} {ahlA} {ahlA} {ahlA} \\\n",
    "--template {init}/7dsd.pdb \\\n",
    "--output_dir {init}/result/7ahl \\\n",
    "--target_chains A A A A A A A \\\n",
    "--template_chains A B C D E F G \\\n",
    "--align \\\n",
    "--align_tool tmalign'''\n",
    "    os.system(cmd)\n",
    "    os.system(f'{cmd} --append')\n",
    "    os.system(f'{cmd} --append')\n",
    "    os.system(f'{cmd} --append')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "当前目录从 /home/regen/paper_notes/af_unmasked 临时切换到 /home/regen/git_develop/AF_unmasked\n",
      "I1022 18:03:07.547330 139272028329088 templates.py:857] Using precomputed obsolete pdbs AF_data/pdb_mmcif/obsolete.dat.\n",
      "I1022 18:03:07.550894 139272028329088 run_alphafold.py:448] Turning cross-chain templates ON\n",
      "I1022 18:03:07.550977 139272028329088 run_alphafold.py:459] Setting max_recycles to 3\n",
      "I1022 18:03:07.551006 139272028329088 run_alphafold.py:460] Setting early stop tolerance to 0.5\n",
      "I1022 18:03:07.551029 139272028329088 run_alphafold.py:461] Setting dropout to False\n",
      "I1022 18:03:07.696968 139272028329088 xla_bridge.py:353] Unable to initialize backend 'tpu_driver': NOT_FOUND: Unable to find driver in registry given worker: \n",
      "I1022 18:03:07.697083 139272028329088 xla_bridge.py:353] Unable to initialize backend 'cuda': could not convert string to float: '.XX'\n",
      "I1022 18:03:07.697121 139272028329088 xla_bridge.py:353] Unable to initialize backend 'rocm': could not convert string to float: '.XX'\n",
      "I1022 18:03:07.697285 139272028329088 xla_bridge.py:353] Unable to initialize backend 'tpu': module 'jaxlib.xla_extension' has no attribute 'get_tpu_client'\n",
      "I1022 18:03:07.697317 139272028329088 xla_bridge.py:353] Unable to initialize backend 'plugin': xla_extension has no attributes named get_plugin_device_client. Compile TensorFlow with //tensorflow/compiler/xla/python:enable_plugin_device set to true (defaults to false) to enable this.\n",
      "W1022 18:03:07.697344 139272028329088 xla_bridge.py:360] No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n",
      "I1022 18:03:08.253987 139272028329088 run_alphafold.py:468] Have 5 models: ['model_5_multimer_v3_pred_1', 'model_5_multimer_v3_pred_2', 'model_5_multimer_v3_pred_3', 'model_5_multimer_v3_pred_4', 'model_5_multimer_v3_pred_5']\n",
      "I1022 18:03:08.254096 139272028329088 run_alphafold.py:482] Using random seed 1422684725964045904 for the data pipeline\n",
      "I1022 18:03:08.254226 139272028329088 run_alphafold.py:200] Predicting 7ahl\n",
      "I1022 18:03:08.254643 139272028329088 pipeline_multimer.py:212] Running monomer pipeline on chain A: 7ahl_1\n",
      "W1022 18:03:08.254716 139272028329088 pipeline.py:100] Reading MSA from file /home/regen/paper_notes/af_unmasked/result/7ahl/msas/A/uniref90_hits.sto\n",
      "W1022 18:03:08.255168 139272028329088 pipeline.py:100] Reading MSA from file /home/regen/paper_notes/af_unmasked/result/7ahl/msas/A/mgnify_hits.sto\n",
      "W1022 18:03:08.267554 139272028329088 pipeline.py:100] Reading MSA from file /home/regen/paper_notes/af_unmasked/result/7ahl/msas/A/small_bfd_hits.sto\n",
      "I1022 18:03:08.267714 139272028329088 templates.py:940] Searching for multimer template for: MKTRIVSSVTTTLLLGSILMNPVAGAADSDINIKTGTTDIGSNTTVKTGDLVTYDKENGMHKKVFYSFIDDKNHNKKLLVIRTKGTIAGQYRVYSEEGANKSGLAWPSAFKVQLQLPDNEVAQISDYYPRNSIDTKEYMSTLTYGFNGNVTGDDTGKIGGLIGANVSIGHTLKYVQPDFKTILESPTDKKVGWKVIFNNMVNQNWGPYDRDSWNPVYGNQLFMKTRNGSMKAADNFLDPNKASSLLSSGFSPDFATVITMDRKASKQQTNIDVIYERVRDDYQLHWTSTNWKGTNTKDKWTDRSSERYKIDWEKEEMTN\n",
      "W1022 18:03:08.540601 139272028329088 templates.py:547] The exact sequence QFLQANQESFMGICGIMALASAMYSEFTCPCLPDYNYGGIVPPIWFLLGYSSMQRLIAVWIAVLMGKSFLCAFSTADLSEFVSLSQKELLIQEEHEIISREAATRYIRSQG was not found in 0000_A. Realigning the template to the actual sequence.\n",
      "I1022 18:03:08.540696 139272028329088 kalign.py:66] Aligning 2 sequences\n",
      "I1022 18:03:08.540828 139272028329088 kalign.py:87] Launching subprocess \"/home/regen/ana/envs/AF_unmasked/bin/kalign -i /tmp/tmpuhl3mnjd/input.fasta -o /tmp/tmpuhl3mnjd/output.a3m -format fasta\"\n",
      "I1022 18:03:08.559244 139272028329088 utils.py:36] Started Kalign query\n",
      "I1022 18:03:08.560431 139272028329088 kalign.py:94] Kalign stdout:\n",
      "\n",
      "Kalign (3.2.2)\n",
      "\n",
      "Copyright (C) 2006,2019,2020 Timo Lassmann\n",
      "\n",
      "This program comes with ABSOLUTELY NO WARRANTY; for details type:\n",
      "`kalign -showw'.\n",
      "This is free software, and you are welcome to redistribute it\n",
      "under certain conditions; consult the COPYING file for details.\n",
      "\n",
      "Please cite:\n",
      "  Lassmann, Timo.\n",
      "  \"Kalign 3: multiple sequence alignment of large data sets.\"\n",
      "  Bioinformatics (2019) \n",
      "  https://doi.org/10.1093/bioinformatics/btz795\n",
      "\n",
      "\n",
      "WARNING: AVX2 instruction set not found!\n",
      "         Kalign will not run optimally.\n",
      "\n",
      "[2024-10-22 18:03:08] :     LOG : /home/regen/ana/envs/AF_unmasked/bin/kalign -i /tmp/tmpuhl3mnjd/input.fasta -o /tmp/tmpuhl3mnjd/output.a3m -format fasta \n",
      "[2024-10-22 18:03:08] :     LOG : Detected protein sequences.\n",
      "[2024-10-22 18:03:08] :     LOG : Done reading input sequences in 0.000517 seconds.\n",
      "[2024-10-22 18:03:08] :     LOG : Detected: 2 sequences.\n",
      "[2024-10-22 18:03:08] :     LOG : Calculating pairwise distances\n",
      "[2024-10-22 18:03:08] :     LOG : Done in 0.000049 sec.\n",
      "[2024-10-22 18:03:08] :     LOG : Building guide tree.\n",
      "[2024-10-22 18:03:08] :     LOG : Done in 0.000025 sec.\n",
      "[2024-10-22 18:03:08] :     LOG : Aligning\n",
      "[2024-10-22 18:03:08] :     LOG : Done in 0.000126 sec.\n",
      "\n",
      "\n",
      "stderr:\n",
      "\n",
      "\n",
      "I1022 18:03:08.560484 139272028329088 utils.py:40] Finished Kalign query in 0.001 seconds\n",
      "I1022 18:03:08.560730 139272028329088 templates.py:370] Old aligned template: -QFLQANQESFMGICGIMALASA-MYS--EFTCPCLPDYNYG-GI----VPPIWF-LLGY-----------------------------SSMQRLI---AVWIAVLM--GKSFLCAFS-TADLSEFV-----SLSQKELL----------IQEEHEIISREAATRYIRSQG----------------------\n",
      "New aligned template: VQFLQANQESFMGICGIMALASAQMYSSFEFTCPCLPDYNYAYGIGILIVPPIWFFLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMFSSMTQRALIAPAVWIAVTLMDGKSFLCAFSPTADLSEFVNESYQSLSQKELLKIQAKIPCKDIFEEHEIISREAATRYIRCLSQACGWTFLMVITLVAFLVRAIR\n",
      "I1022 18:03:08.560809 139272028329088 templates.py:555] Sequence in 0000_A: QFLQANQESFMGICGIMALASAMYSEFTCPCLPDYNYGGIVPPIWFLLGYSSMQRLIAVWIAVLMGKSFLCAFSTADLSEFVSLSQKELLIQEEHEIISREAATRYIRSQG successfully realigned to VQFLQANQESFMGICGIMALASAQMYSSFEFTCPCLPDYNYAYGIGILIVPPIWFFLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMFSSMTQRALIAPAVWIAVTLMDGKSFLCAFSPTADLSEFVNESYQSLSQKELLKIQAKIPCKDIFEEHEIISREAATRYIRCLSQACGWTFLMVITLVAFLVRAIR\n",
      "W1022 18:03:08.763404 139272028329088 templates.py:547] The exact sequence QFLQANQESFMGICGIMALASAMYSEFTCPCLPDYNYGGIVPPIWFLLGYSSMQRLIAVWIAVLMGKSFLCAFSTADLSEFVSLSQKELLIQEEHEIISREAATRYIRSQG was not found in 0001_A. Realigning the template to the actual sequence.\n",
      "I1022 18:03:08.763495 139272028329088 kalign.py:66] Aligning 2 sequences\n",
      "I1022 18:03:08.763648 139272028329088 kalign.py:87] Launching subprocess \"/home/regen/ana/envs/AF_unmasked/bin/kalign -i /tmp/tmpojnofk9f/input.fasta -o /tmp/tmpojnofk9f/output.a3m -format fasta\"\n",
      "I1022 18:03:08.781470 139272028329088 utils.py:36] Started Kalign query\n",
      "I1022 18:03:08.782591 139272028329088 kalign.py:94] Kalign stdout:\n",
      "\n",
      "Kalign (3.2.2)\n",
      "\n",
      "Copyright (C) 2006,2019,2020 Timo Lassmann\n",
      "\n",
      "This program comes with ABSOLUTELY NO WARRANTY; for details type:\n",
      "`kalign -showw'.\n",
      "This is free software, and you are welcome to redistribute it\n",
      "under certain conditions; consult the COPYING file for details.\n",
      "\n",
      "Please cite:\n",
      "  Lassmann, Timo.\n",
      "  \"Kalign 3: multiple sequence alignment of large data sets.\"\n",
      "  Bioinformatics (2019) \n",
      "  https://doi.org/10.1093/bioinformatics/btz795\n",
      "\n",
      "\n",
      "WARNING: AVX2 instruction set not found!\n",
      "         Kalign will not run optimally.\n",
      "\n",
      "[2024-10-22 18:03:08] :     LOG : /home/regen/ana/envs/AF_unmasked/bin/kalign -i /tmp/tmpojnofk9f/input.fasta -o /tmp/tmpojnofk9f/output.a3m -format fasta \n",
      "[2024-10-22 18:03:08] :     LOG : Detected protein sequences.\n",
      "[2024-10-22 18:03:08] :     LOG : Done reading input sequences in 0.000493 seconds.\n",
      "[2024-10-22 18:03:08] :     LOG : Detected: 2 sequences.\n",
      "[2024-10-22 18:03:08] :     LOG : Calculating pairwise distances\n",
      "[2024-10-22 18:03:08] :     LOG : Done in 0.000049 sec.\n",
      "[2024-10-22 18:03:08] :     LOG : Building guide tree.\n",
      "[2024-10-22 18:03:08] :     LOG : Done in 0.000023 sec.\n",
      "[2024-10-22 18:03:08] :     LOG : Aligning\n",
      "[2024-10-22 18:03:08] :     LOG : Done in 0.000125 sec.\n",
      "\n",
      "\n",
      "stderr:\n",
      "\n",
      "\n",
      "I1022 18:03:08.782649 139272028329088 utils.py:40] Finished Kalign query in 0.001 seconds\n",
      "I1022 18:03:08.782887 139272028329088 templates.py:370] Old aligned template: -QFLQANQESFMGICGIMALASA-MYS--EFTCPCLPDYNYG-GI----VPPIWF-LLGY-----------------------------SSMQRLI---AVWIAVLM--GKSFLCAFS-TADLSEFV-----SLSQKELL----------IQEEHEIISREAATRYIRSQG----------------------\n",
      "New aligned template: VQFLQANQESFMGICGIMALASAQMYSSFEFTCPCLPDYNYAYGIGILIVPPIWFFLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMFSSMTQRALIAPAVWIAVTLMDGKSFLCAFSPTADLSEFVNESYQSLSQKELLKIQAKIPCKDIFEEHEIISREAATRYIRCLSQACGWTFLMVITLVAFLVRAIR\n",
      "I1022 18:03:08.782963 139272028329088 templates.py:555] Sequence in 0001_A: QFLQANQESFMGICGIMALASAMYSEFTCPCLPDYNYGGIVPPIWFLLGYSSMQRLIAVWIAVLMGKSFLCAFSTADLSEFVSLSQKELLIQEEHEIISREAATRYIRSQG successfully realigned to VQFLQANQESFMGICGIMALASAQMYSSFEFTCPCLPDYNYAYGIGILIVPPIWFFLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMFSSMTQRALIAPAVWIAVTLMDGKSFLCAFSPTADLSEFVNESYQSLSQKELLKIQAKIPCKDIFEEHEIISREAATRYIRCLSQACGWTFLMVITLVAFLVRAIR\n",
      "W1022 18:03:09.081706 139272028329088 templates.py:547] The exact sequence QFLQANQESFMGICGIMALASAMYSEFTCPCLPDYNYGGIVPPIWFLLGYSSMQRLIAVWIAVLMGKSFLCAFSTADLSEFVSLSQKELLIQEEHEIISREAATRYIRSQG was not found in 0002_A. Realigning the template to the actual sequence.\n",
      "I1022 18:03:09.081795 139272028329088 kalign.py:66] Aligning 2 sequences\n",
      "I1022 18:03:09.081926 139272028329088 kalign.py:87] Launching subprocess \"/home/regen/ana/envs/AF_unmasked/bin/kalign -i /tmp/tmpk5ifiebn/input.fasta -o /tmp/tmpk5ifiebn/output.a3m -format fasta\"\n",
      "I1022 18:03:09.100609 139272028329088 utils.py:36] Started Kalign query\n",
      "I1022 18:03:09.101665 139272028329088 kalign.py:94] Kalign stdout:\n",
      "\n",
      "Kalign (3.2.2)\n",
      "\n",
      "Copyright (C) 2006,2019,2020 Timo Lassmann\n",
      "\n",
      "This program comes with ABSOLUTELY NO WARRANTY; for details type:\n",
      "`kalign -showw'.\n",
      "This is free software, and you are welcome to redistribute it\n",
      "under certain conditions; consult the COPYING file for details.\n",
      "\n",
      "Please cite:\n",
      "  Lassmann, Timo.\n",
      "  \"Kalign 3: multiple sequence alignment of large data sets.\"\n",
      "  Bioinformatics (2019) \n",
      "  https://doi.org/10.1093/bioinformatics/btz795\n",
      "\n",
      "\n",
      "WARNING: AVX2 instruction set not found!\n",
      "         Kalign will not run optimally.\n",
      "\n",
      "[2024-10-22 18:03:09] :     LOG : /home/regen/ana/envs/AF_unmasked/bin/kalign -i /tmp/tmpk5ifiebn/input.fasta -o /tmp/tmpk5ifiebn/output.a3m -format fasta \n",
      "[2024-10-22 18:03:09] :     LOG : Detected protein sequences.\n",
      "[2024-10-22 18:03:09] :     LOG : Done reading input sequences in 0.000508 seconds.\n",
      "[2024-10-22 18:03:09] :     LOG : Detected: 2 sequences.\n",
      "[2024-10-22 18:03:09] :     LOG : Calculating pairwise distances\n",
      "[2024-10-22 18:03:09] :     LOG : Done in 0.000047 sec.\n",
      "[2024-10-22 18:03:09] :     LOG : Building guide tree.\n",
      "[2024-10-22 18:03:09] :     LOG : Done in 0.000022 sec.\n",
      "[2024-10-22 18:03:09] :     LOG : Aligning\n",
      "[2024-10-22 18:03:09] :     LOG : Done in 0.000124 sec.\n",
      "\n",
      "\n",
      "stderr:\n",
      "\n",
      "\n",
      "I1022 18:03:09.101732 139272028329088 utils.py:40] Finished Kalign query in 0.001 seconds\n",
      "I1022 18:03:09.101971 139272028329088 templates.py:370] Old aligned template: -QFLQANQESFMGICGIMALASA-MYS--EFTCPCLPDYNYG-GI----VPPIWF-LLGY-----------------------------SSMQRLI---AVWIAVLM--GKSFLCAFS-TADLSEFV-----SLSQKELL----------IQEEHEIISREAATRYIRSQG----------------------\n",
      "New aligned template: VQFLQANQESFMGICGIMALASAQMYSSFEFTCPCLPDYNYAYGIGILIVPPIWFFLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMFSSMTQRALIAPAVWIAVTLMDGKSFLCAFSPTADLSEFVNESYQSLSQKELLKIQAKIPCKDIFEEHEIISREAATRYIRCLSQACGWTFLMVITLVAFLVRAIR\n",
      "I1022 18:03:09.102047 139272028329088 templates.py:555] Sequence in 0002_A: QFLQANQESFMGICGIMALASAMYSEFTCPCLPDYNYGGIVPPIWFLLGYSSMQRLIAVWIAVLMGKSFLCAFSTADLSEFVSLSQKELLIQEEHEIISREAATRYIRSQG successfully realigned to VQFLQANQESFMGICGIMALASAQMYSSFEFTCPCLPDYNYAYGIGILIVPPIWFFLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMFSSMTQRALIAPAVWIAVTLMDGKSFLCAFSPTADLSEFVNESYQSLSQKELLKIQAKIPCKDIFEEHEIISREAATRYIRCLSQACGWTFLMVITLVAFLVRAIR\n",
      "W1022 18:03:09.307045 139272028329088 templates.py:547] The exact sequence QFLQANQESFMGICGIMALASAMYSEFTCPCLPDYNYGGIVPPIWFLLGYSSMQRLIAVWIAVLMGKSFLCAFSTADLSEFVSLSQKELLIQEEHEIISREAATRYIRSQG was not found in 0003_A. Realigning the template to the actual sequence.\n",
      "I1022 18:03:09.307142 139272028329088 kalign.py:66] Aligning 2 sequences\n",
      "I1022 18:03:09.307296 139272028329088 kalign.py:87] Launching subprocess \"/home/regen/ana/envs/AF_unmasked/bin/kalign -i /tmp/tmpox_7z5cl/input.fasta -o /tmp/tmpox_7z5cl/output.a3m -format fasta\"\n",
      "I1022 18:03:09.327604 139272028329088 utils.py:36] Started Kalign query\n",
      "I1022 18:03:09.328751 139272028329088 kalign.py:94] Kalign stdout:\n",
      "\n",
      "Kalign (3.2.2)\n",
      "\n",
      "Copyright (C) 2006,2019,2020 Timo Lassmann\n",
      "\n",
      "This program comes with ABSOLUTELY NO WARRANTY; for details type:\n",
      "`kalign -showw'.\n",
      "This is free software, and you are welcome to redistribute it\n",
      "under certain conditions; consult the COPYING file for details.\n",
      "\n",
      "Please cite:\n",
      "  Lassmann, Timo.\n",
      "  \"Kalign 3: multiple sequence alignment of large data sets.\"\n",
      "  Bioinformatics (2019) \n",
      "  https://doi.org/10.1093/bioinformatics/btz795\n",
      "\n",
      "\n",
      "WARNING: AVX2 instruction set not found!\n",
      "         Kalign will not run optimally.\n",
      "\n",
      "[2024-10-22 18:03:09] :     LOG : /home/regen/ana/envs/AF_unmasked/bin/kalign -i /tmp/tmpox_7z5cl/input.fasta -o /tmp/tmpox_7z5cl/output.a3m -format fasta \n",
      "[2024-10-22 18:03:09] :     LOG : Detected protein sequences.\n",
      "[2024-10-22 18:03:09] :     LOG : Done reading input sequences in 0.000514 seconds.\n",
      "[2024-10-22 18:03:09] :     LOG : Detected: 2 sequences.\n",
      "[2024-10-22 18:03:09] :     LOG : Calculating pairwise distances\n",
      "[2024-10-22 18:03:09] :     LOG : Done in 0.000045 sec.\n",
      "[2024-10-22 18:03:09] :     LOG : Building guide tree.\n",
      "[2024-10-22 18:03:09] :     LOG : Done in 0.000022 sec.\n",
      "[2024-10-22 18:03:09] :     LOG : Aligning\n",
      "[2024-10-22 18:03:09] :     LOG : Done in 0.000132 sec.\n",
      "\n",
      "\n",
      "stderr:\n",
      "\n",
      "\n",
      "I1022 18:03:09.328811 139272028329088 utils.py:40] Finished Kalign query in 0.001 seconds\n",
      "I1022 18:03:09.329043 139272028329088 templates.py:370] Old aligned template: -QFLQANQESFMGICGIMALASA-MYS--EFTCPCLPDYNYG-GI----VPPIWF-LLGY-----------------------------SSMQRLI---AVWIAVLM--GKSFLCAFS-TADLSEFV-----SLSQKELL----------IQEEHEIISREAATRYIRSQG----------------------\n",
      "New aligned template: VQFLQANQESFMGICGIMALASAQMYSSFEFTCPCLPDYNYAYGIGILIVPPIWFFLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMFSSMTQRALIAPAVWIAVTLMDGKSFLCAFSPTADLSEFVNESYQSLSQKELLKIQAKIPCKDIFEEHEIISREAATRYIRCLSQACGWTFLMVITLVAFLVRAIR\n",
      "I1022 18:03:09.329122 139272028329088 templates.py:555] Sequence in 0003_A: QFLQANQESFMGICGIMALASAMYSEFTCPCLPDYNYGGIVPPIWFLLGYSSMQRLIAVWIAVLMGKSFLCAFSTADLSEFVSLSQKELLIQEEHEIISREAATRYIRSQG successfully realigned to VQFLQANQESFMGICGIMALASAQMYSSFEFTCPCLPDYNYAYGIGILIVPPIWFFLLGYVMNNNISVLTEEWKRPVGKDPAVLRYMFSSMTQRALIAPAVWIAVTLMDGKSFLCAFSPTADLSEFVNESYQSLSQKELLKIQAKIPCKDIFEEHEIISREAATRYIRCLSQACGWTFLMVITLVAFLVRAIR\n",
      "I1022 18:03:09.338857 139272028329088 pipeline.py:245] Uniref90 MSA size: 100 sequences.\n",
      "I1022 18:03:09.338928 139272028329088 pipeline.py:246] BFD MSA size: 1 sequences.\n",
      "I1022 18:03:09.338952 139272028329088 pipeline.py:247] MGnify MSA size: 62 sequences.\n",
      "I1022 18:03:09.338973 139272028329088 pipeline.py:248] Final (deduplicated) MSA size: 154 sequences.\n",
      "I1022 18:03:09.339214 139272028329088 pipeline.py:250] Total number of templates (NB: this can include bad templates and is later filtered to top 4): 4.\n",
      "I1022 18:03:09.382437 139272028329088 run_alphafold.py:238] Running model model_5_multimer_v3_pred_1 on 7ahl\n",
      "I1022 18:03:09.382838 139272028329088 model.py:165] Running predict with shape(feat) = {'aatype': (2233,), 'residue_index': (2233,), 'seq_length': (), 'msa': (512, 2233), 'num_alignments': (), 'template_aatype': (4, 2233), 'template_all_atom_mask': (4, 2233, 37), 'template_all_atom_positions': (4, 2233, 37, 3), 'asym_id': (2233,), 'sym_id': (2233,), 'entity_id': (2233,), 'deletion_matrix': (512, 2233), 'deletion_mean': (2233,), 'all_atom_mask': (2233, 37), 'all_atom_positions': (2233, 37, 3), 'assembly_num_chains': (), 'entity_mask': (2233,), 'num_templates': (), 'cluster_bias_mask': (512,), 'bert_mask': (512, 2233), 'seq_mask': (2233,), 'msa_mask': (512, 2233)}\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/regen/git_develop/AF_unmasked/run_alphafold.py\", line 512, in <module>\n",
      "    app.run(main)\n",
      "  File \"/home/regen/ana/envs/AF_unmasked/lib/python3.9/site-packages/absl/app.py\", line 312, in run\n",
      "    _run_main(main, args)\n",
      "  File \"/home/regen/ana/envs/AF_unmasked/lib/python3.9/site-packages/absl/app.py\", line 258, in _run_main\n",
      "    sys.exit(main(argv))\n",
      "  File \"/home/regen/git_develop/AF_unmasked/run_alphafold.py\", line 487, in main\n",
      "    predict_structure(\n",
      "  File \"/home/regen/git_develop/AF_unmasked/run_alphafold.py\", line 246, in predict_structure\n",
      "    prediction_result = model_runner.predict(processed_feature_dict,\n",
      "  File \"/home/regen/git_develop/AF_unmasked/alphafold/model/model.py\", line 167, in predict\n",
      "    result = self.apply(self.params, jax.random.PRNGKey(random_seed), feat)\n",
      "  File \"/home/regen/ana/envs/AF_unmasked/lib/python3.9/site-packages/jax/_src/traceback_util.py\", line 162, in reraise_with_filtered_traceback\n",
      "    return fun(*args, **kwargs)\n",
      "  File \"/home/regen/ana/envs/AF_unmasked/lib/python3.9/site-packages/jax/_src/api.py\", line 623, in cache_miss\n",
      "    out_flat = call_bind_continuation(execute(*args_flat))\n",
      "  File \"/home/regen/ana/envs/AF_unmasked/lib/python3.9/site-packages/jax/_src/dispatch.py\", line 895, in _execute_compiled\n",
      "    out_flat = compiled.execute(in_flat)\n",
      "jax._src.traceback_util.UnfilteredStackTrace: jaxlib.xla_extension.XlaRuntimeError: RESOURCE_EXHAUSTED: Out of memory allocating 46148625664 bytes.\n",
      "\n",
      "The stack trace below excludes JAX-internal frames.\n",
      "The preceding is the original exception that occurred, unmodified.\n",
      "\n",
      "--------------------\n",
      "\n",
      "The above exception was the direct cause of the following exception:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/regen/git_develop/AF_unmasked/run_alphafold.py\", line 512, in <module>\n",
      "    app.run(main)\n",
      "  File \"/home/regen/ana/envs/AF_unmasked/lib/python3.9/site-packages/absl/app.py\", line 312, in run\n",
      "    _run_main(main, args)\n",
      "  File \"/home/regen/ana/envs/AF_unmasked/lib/python3.9/site-packages/absl/app.py\", line 258, in _run_main\n",
      "    sys.exit(main(argv))\n",
      "  File \"/home/regen/git_develop/AF_unmasked/run_alphafold.py\", line 487, in main\n",
      "    predict_structure(\n",
      "  File \"/home/regen/git_develop/AF_unmasked/run_alphafold.py\", line 246, in predict_structure\n",
      "    prediction_result = model_runner.predict(processed_feature_dict,\n",
      "  File \"/home/regen/git_develop/AF_unmasked/alphafold/model/model.py\", line 167, in predict\n",
      "    result = self.apply(self.params, jax.random.PRNGKey(random_seed), feat)\n",
      "jaxlib.xla_extension.XlaRuntimeError: RESOURCE_EXHAUSTED: Out of memory allocating 46148625664 bytes.\n",
      "当前目录切换回到 /home/regen/paper_notes/af_unmasked\n"
     ]
    }
   ],
   "source": [
    "with chdir(af_root) as (tmp, init):\n",
    "    # alphafold2预测结果,由于模板输入的是结构而非fasta,生成结果的文件夹下没有与fasta文件名同名的文件夹\n",
    "    # 出于演示目的,仅使用1个模型参数,裁剪序列比对数量\n",
    "    cmd = f'''python run_alphafold.py \\\n",
    "--fasta_paths {init}/result/7ahl/7ahl.fasta \\\n",
    "--flagfile ./databases.flag \\\n",
    "--flagfile {init}/result/7ahl/template_data/templates.flag \\\n",
    "--output_dir {init}/result \\\n",
    "--models_to_use=model_5_multimer_v3 \\\n",
    "--uniprot_max_hits 1 \\\n",
    "--mgnify_max_hits 100 \\\n",
    "--uniref_max_hits 100 \\\n",
    "--bfd_max_hits 1 \\\n",
    "--noseparate_homomer_msas \\\n",
    "--cross_chain_templates'''\n",
    "    !python run_alphafold.py \\\n",
    "--fasta_paths $init/result/7ahl/7ahl.fasta \\\n",
    "--flagfile ./databases.flag \\\n",
    "--flagfile $init/result/7ahl/template_data/templates.flag \\\n",
    "--output_dir $init/result \\\n",
    "--models_to_use=model_5_multimer_v3 \\\n",
    "--uniprot_max_hits 1 \\\n",
    "--mgnify_max_hits 100 \\\n",
    "--uniref_max_hits 100 \\\n",
    "--bfd_max_hits 1 \\\n",
    "--noseparate_homomer_msas \\\n",
    "--cross_chain_templates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "显存不够,暂时搁置."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "!rm -R result"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "AF_unmasked",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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